The Applied Machine Learning group is responsible for innovation and development of end-to-end AI solutions, technology proof of concepts, and IP development of current and future ML workloads for Intel architecture and silicon serving consumer and corporate business requirements. In this position, you will be responsible for research, modeling, and prototyping of ML techniques, generating data insights and optimizations for Intel platforms.
 

Responsibilities include but are not limited to:

• Builds machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
• Uses or develops machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Natural Language Processing, Recommendation System, Graph Neural Network, Robotics, etc. Interacts with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software.
  Completes programming, testing, debugging, documentation and/or deployment of the solution/products. Engineers Big Data computing frameworks, data modeling and other relevant software tools.
• You will play a key technical role for end-2-end machine learning & deep learning platform development based on various frameworks and hardware (such as CPU, GPU, accelerators). You will also be responsible for developing AI/ML solutions and methodologies to bring the best performance, accuracy, efficiency, and ease-of-use to customers by working with internal and external partners.

The job scope may include but not limited to:

End-2-end ML/DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper-parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving; Algorithm and model development of advanced technologies in computer vision, natural language processing, recommendation, graph analytics, reinforcement learning, and other domains; Machine learning framework and workload performance profiling, optimization, insights generation for benchmark such as MLPerf as well as real-world customer use cases; Software and tools development in python, C++, and other languages as required.
 

An ideal candidate would exhibit behavioral skills that indicate:
Excellent written and oral communication skills and be able to clearly communicate technical details and concept.

Qualifications

The candidate must possess a Master's degree (with 3+ years industry experience ) or Ph.D. degree (with 2+ years industry experience ) in Computer Engineering, Computer Science, Data Science, Software Engineering, Electrical Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines.
 

3+years of the following technical skills:

• Experience in deep learning frameworks such as PyTorch and TensorFlow, working on CPU / GPU / AI accelerators for ML and DL
• Strong experience with performance optimization and tuning
• Familiar with deep learning algorithm as well as classical machine learning algorithm such as XGBoost, CatBoost, scikit-learn, LightGBM, SVM, random forest etc.
• Modeling experience in computer vision, recommendation, natural language processing, reinforcement learning or graph neural network
   

Preferred Qualifications:

• You should have a proven track record of a leadership role in machine learning, deep learning research and applications demonstrated by patents, publications, product delivery, or other means
• Experience on performance optimization for PyTorch and TensorFlow framework, MLPerf benchmark and other SOTA workload
• Distributed training, Horovod, Torch DDP, Ray SGD
• Inference optimization such as quantization, sparsity, distillation
• HPO and NAS algorithm, Bayesian optimization, Optuna, Ray Tune, SigOpt
• Big data platform, Hadoop, Spark, Modin
• MLOps experience in either CSP AI platform such as SageMaker, AzureML, VertexAI, Ali AI Platform or on-prem solution such as Kubeflow, CNVRG.IO, Prefect, Flyte.

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Other Locations

US, Georgia, Atlanta;US, Oregon, Hillsboro

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Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.